๐๐ด๐ฒ๐ป๐๐ ๐ฎ๐ฐ๐. ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ.
๐ฌ๐ผ๐๐ฟ ๐ฟ๐ถ๐๐ธ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ ๐๐ฎ๐ ๐ฏ๐๐ถ๐น๐ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐๐ฒ๐ฐ๐ผ๐ป๐ฑ ๐ผ๐ป๐ฒ.
New EW-AiRMโข briefing, out today: "Governing the Agentic Enterprise: Applying EW-AiRMโข to Agentic AI and Multi-Agent Risk".
Gravitee's State of AI Agent Security 2026 field data is blunt:
โช 88% of organisations reported a confirmed or suspected AI-agent security incident (December 2025 wave)
โช Enterprise agent estates roughly doubled in a single quarter, while monitoring coverage barely moved
โช 82% of executives believe their policies protect them. 21% have runtime visibility into what their agents are actually doing.
โช Only 22% treat agents as identity-bearing entities. 46% still run agents on shared API keys.
Adoption has outrun governance. And the harder problem is not the single agent. It is what happens when agents, running different foundation models, on different update cadences, with different safety postures, start delegating to each other.
Enterprise-wide AI Risk Managementยฎ (EW-AiRMยฎ) ewairm.com already names this: AI Black Swan 7, Multi-Agent Emergence, classified operationally under MIT subdomain 7.6.
The briefing sets out, in four parts:
1๏ธโฃ What EW-AiRMโข is, its decade-long lineage (GCRP โ UCRP โ HAiPECRโข โ UNECE CRA), and why it augments rather than replaces ERM
2๏ธโฃ How the six pillars, the MIT-grounded Operational Layer, the Resilience Layer and the HAiPECRโข overlay each read once an AI system holds credentials and takes actions
3๏ธโฃ Multi-agent risk: cascade propagation, the heterogeneous foundation-model problem, human control at the level of the system (not one agent), and controls mapped to the four MIT quadrants
4๏ธโฃ Seven moves, in order, to manage the cumulative risk, plus how the free tools at www.ewairm.com deploy specifically for agentic and multi-agent exposure
Three things worth taking away even if you read nothing else:
๐น The first governance question is not how to deploy an agent. It is whether to.
๐น Pausing one agent while its peers keep transacting on its last outputs is not control. Override must work at system level, tested and timed (NN3).
๐น Composite scores cannot average away a missing owner or an untested kill switch. The Five Non-Negotiables are the floor, whatever the tier.
๐ The full briefing (PDF, 10 pages) is attached below
๐งฐ Free browser-based tools, no sign-up: https://lnkd.in/eU3_PneJ
๐ The complete framework, Wiley Finance, 12 November 2026: https://lnkd.in/eFZUcNTV
If you are a CRO, Head of AI Governance, audit lead or board member watching an agent estate grow faster than your register updates, this one is for you. Curious which of the seven moves your firm has actually completed.
https://enterprisewideairiskmanagement.grigora.app/agenticaihtml/